ObjectiveTo improve the therapeutic effect of Buyang Huanwutang（BYHW） on diabetic kidney disease （DKD） and explore new methods for developing new Chinese medicine decoctions，we utilized 5-hydroxymethylcytosine （5hmC）-Seal sequencing technology and network pharmacology to modify BYHW. MethodsWe selected 14 diabetes mellitus （DM） patients and 15 DKD patients hospitalized in the Department of Endocrinology of Peking University Third Hospital in 2021. Circulating free DNA （cfDNA） in the patients’ plasma was sequenced. After data processing and screening， we performed temporal clustering analysis to select a DKD 5hmC gene set， which was then cross-validated with a DKD database gene set to obtain the DKD gene set. We retrieved target genes of the seven herbal components of BYHW from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and the Encyclopedia of Traditional Chinese Medicine （ETCM）， and performed cross-analysis with the DKD gene set to identify common genes shared by the disease and the Chinese medicines. A protein-protein interaction （PPI） network was constructed for the common genes to screen out the key genes. Chinese medicines targeting these key genes were searched against ETCM to identify removable Chinese medicines. Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis was performed on non-common DKD genes， and key genes in DKD-related pathways were selected based on machine learning. The GSE30529 dataset was used to verify the expression trends of 5hmC-modified genes and the feasibility of target genes as drug targets. TCMBank was used to search for target genes and obtain compounds targeting these genes and the corresponding Chinese medicines to construct a "key target-compound-Chinese medicine" network. Molecular docking was employed to verify the binding affinity of compounds with key targets. TCMSP and ETCM were used to search and count the candidate Chinese medicines targeting DKD-related genes， and a new decoction was formed by adding the selected Chinese medicines. A mouse model of DKD was established to examine the efficacy of the new decoction based on the mouse body mass， random blood glucose， urinary microalbumin （mALB）， serum creatinine （Scr）， and blood urea nitrogen （BUN） and by hematoxylin-eosin staining， periodic acid-Schiff staining， Masson staining， immunofluorescence assay， and Real-time PCR. ResultsThe cross-analysis results showed that the DKD gene set included 507 genes， of which 30 were target genes of BYHW. The PPI analysis indicated that the top 15% target genes regarding the degree were interleukin-6 （IL-6）， Toll-like receptor 4 （TLR4）， lactotransferrin （LTF）， lipoprotein lipase （LPL）， and sterol regulatory element-binding transcription factor 1 （SREBF1）. Persicae Semen and Pheretima in BYHW were unrelated to key genes and removed. Machine learning identified 10 potential target genes， among which TBC1 domain family member 5 （TBC1D5）， RAD51 paralog B （RAD51B）， and proteasome 20S subunit alpha 6 （PSMA6） had expression trends consistent with the GSE30529 dataset and could serve as drug targets. The "key target-compound-Chinese medicine" network and molecular docking results indicated that the compounds with good binding affinity to target proteins were arginine， glycine， myristicin， serine， and tyrosine， corresponding to 121 Chinese medicines. The top 10 Chinese medicines targeting DKD-related genes were Lycii Fructus， Ginseng Radix et Rhizoma， Dioscoreae Rhizoma， Rehmanniae Radix Praeparata， Isatidis Radix， Glehniae Radix， Ophiopogonis Radix， Allii Sativi Bulbus， Isatidis Folium， and Bolbostemmatis Rhizoma. Based on traditional Chinese medicine theory， the new decoction was obtained after removal of Persicae Semen and Pheretima and addition of Rehmanniae Radix Praeparata and Dioscoreae Rhizoma. Animal experiment results indicated that the modified BYHW improved the kidney function and inhibited renal fibrosis in DKD mice， with better effects than the original decoction. ConclusionThe BYHW modified based on 5hmC-Seal sequencing demonstrates better performance in inhibiting fibrosis and ameliorating DKD than the original decoction. This elucidates the biomedical theory behind the epigenetic modification of traditional Chinese medicine prescriptions， potentially offering new perspectives for the exploration of these prescriptions

ObjectiveTo improve the therapeutic effect of Buyang Huanwutang（BYHW） on diabetic kidney disease （DKD） and explore new methods for developing new Chinese medicine decoctions，we utilized 5-hydroxymethylcytosine （5hmC）-Seal sequencing technology and network pharmacology to modify BYHW. MethodsWe selected 14 diabetes mellitus （DM） patients and 15 DKD patients hospitalized in the Department of Endocrinology of Peking University Third Hospital in 2021. Circulating free DNA （cfDNA） in the patients’ plasma was sequenced. After data processing and screening， we performed temporal clustering analysis to select a DKD 5hmC gene set， which was then cross-validated with a DKD database gene set to obtain the DKD gene set. We retrieved target genes of the seven herbal components of BYHW from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and the Encyclopedia of Traditional Chinese Medicine （ETCM）， and performed cross-analysis with the DKD gene set to identify common genes shared by the disease and the Chinese medicines. A protein-protein interaction （PPI） network was constructed for the common genes to screen out the key genes. Chinese medicines targeting these key genes were searched against ETCM to identify removable Chinese medicines. Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis was performed on non-common DKD genes， and key genes in DKD-related pathways were selected based on machine learning. The GSE30529 dataset was used to verify the expression trends of 5hmC-modified genes and the feasibility of target genes as drug targets. TCMBank was used to search for target genes and obtain compounds targeting these genes and the corresponding Chinese medicines to construct a "key target-compound-Chinese medicine" network. Molecular docking was employed to verify the binding affinity of compounds with key targets. TCMSP and ETCM were used to search and count the candidate Chinese medicines targeting DKD-related genes， and a new decoction was formed by adding the selected Chinese medicines. A mouse model of DKD was established to examine the efficacy of the new decoction based on the mouse body mass， random blood glucose， urinary microalbumin （mALB）， serum creatinine （Scr）， and blood urea nitrogen （BUN） and by hematoxylin-eosin staining， periodic acid-Schiff staining， Masson staining， immunofluorescence assay， and Real-time PCR. ResultsThe cross-analysis results showed that the DKD gene set included 507 genes， of which 30 were target genes of BYHW. The PPI analysis indicated that the top 15% target genes regarding the degree were interleukin-6 （IL-6）， Toll-like receptor 4 （TLR4）， lactotransferrin （LTF）， lipoprotein lipase （LPL）， and sterol regulatory element-binding transcription factor 1 （SREBF1）. Persicae Semen and Pheretima in BYHW were unrelated to key genes and removed. Machine learning identified 10 potential target genes， among which TBC1 domain family member 5 （TBC1D5）， RAD51 paralog B （RAD51B）， and proteasome 20S subunit alpha 6 （PSMA6） had expression trends consistent with the GSE30529 dataset and could serve as drug targets. The "key target-compound-Chinese medicine" network and molecular docking results indicated that the compounds with good binding affinity to target proteins were arginine， glycine， myristicin， serine， and tyrosine， corresponding to 121 Chinese medicines. The top 10 Chinese medicines targeting DKD-related genes were Lycii Fructus， Ginseng Radix et Rhizoma， Dioscoreae Rhizoma， Rehmanniae Radix Praeparata， Isatidis Radix， Glehniae Radix， Ophiopogonis Radix， Allii Sativi Bulbus， Isatidis Folium， and Bolbostemmatis Rhizoma. Based on traditional Chinese medicine theory， the new decoction was obtained after removal of Persicae Semen and Pheretima and addition of Rehmanniae Radix Praeparata and Dioscoreae Rhizoma. Animal experiment results indicated that the modified BYHW improved the kidney function and inhibited renal fibrosis in DKD mice， with better effects than the original decoction. ConclusionThe BYHW modified based on 5hmC-Seal sequencing demonstrates better performance in inhibiting fibrosis and ameliorating DKD than the original decoction. This elucidates the biomedical theory behind the epigenetic modification of traditional Chinese medicine prescriptions， potentially offering new perspectives for the exploration of these prescriptions

In recent years,the post-translational modification in epigenetics has drawn the attention of the researchers,and is expected to become the important direction for tumor pharmacology research in future.Chinese herbal medicine has the advantages of less side effects and better efficacy,and has shown good prospects in the research of prevention and treatment of colorectal cancer.This paper outlined the types of post-translational modifications in epigenetics and their roles in the progression of colorectal cancer,and explored the possible mechanisms of single Chinese herbal medicine and Chinese herbal compounds in the treatment of colorectal cancer by influencing post-translational modifications.In the progression of colorectal cancer,the post-translational modifications such as ubiquitination,ubiquitination-like,acetylation,crotonylation and glycylation were involved.The Chinese medicinal active ingredients from Coptidis Rhizoma,Euodiae Fructus,Scutellariae Radix,Curcumae Longae Rhizoma,etc.,and Chinese herbal compounds of Yiliu Decoction and Teng Long Buzhong Decoction have all shown certain effects for the prevention and treatment of colorectal cancer by participating in post-translational modifications.The in-depth exploration of the therapeutic mechanism of Chinese herbal medicine in the prevention and treatment of colorectal cancer and the development of new Chinese medicinal preparations from the perspective of post-translational modification are expected to become a new direction for the future research on the mechanism of anti-colorectal cancer and on the application of anti-cancer agents.

Objective:To investigate genetic findings and pregnancy outcomes in fetuses with omphalocele.Methods:This retrospective study analyzed data from 502 fetuses with prenatally diagnosed omphalocele who underwent genetic testing at Guangzhou Women and Children's Medical Center and Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region between January 2014 and March 2024. Testing methods included karyotyping, chromosomal microarray analysis (CMA), methylation-specific multiplex ligation-dependent probe amplification, and whole-exome sequencing (WES). Cases were categorized as non-isolated ( n=340) or isolated ( n=162) based on ultrasound findings. Differences in genetic abnormality detection rates and pregnancy outcomes were analyzed using Mann-Whitney U test, independent samples t-test, and Chi-square test (or Fisher's exact test). Results:Among 502 fetuses, karyotyping plus CMA detected chromosomal abnormalities in 223 cases (44.4%, 223/502), including trisomy 18 (57.0%, 127/223) and trisomy 13 (23.3%, 52/223). CMA additionally identified nine pathogenic copy number variations (1.8%, 9/502) and five uniparental disomies (1.0%, 5/502), increasing the total diagnostic yield from 44.4% to 47.2%. The genetic abnormality rate was significantly lower in isolated (14.8%, 24/162) versus non-isolated omphalocele (64.7%, 220/340) ( χ2=109.34, P<0.001). WES detected variants in nine of 16 karyotype/CMA-negative cases, including five pathogenic variants involving PIK3CA and CDKN1C. Eight imprinting disorders (1.6%, 8/502) were identified, including five Beckwith-Wiedemann syndrome cases. Among 499 cases with follow-up, 401 (80.4%, 401/499) underwent pregnancy termination. Live birth rate was higher in isolated versus non-isolated groups [42.5% (69/162) vs. 8.5% (29/340), χ2=77.67, P<0.001]. Three cases were lost to follow-up. The one-year survival rate was 93.9% (92/98) in live-born infants. Conclusion:Aneuploidy (particularly trisomy 18) is the primary genetic etiology of omphalocele. CMA and WES significantly improve diagnostic yield. Isolated omphalocele has a more favorable prognosis, while non-isolated cases show significantly higher genetic abnormality rates. A stratified testing strategy is recommended: karyotyping plus CMA for isolated cases and prioritization of WES for multiple anomalies.

In comparison with other malignancies,the diagnosis and treatment of primary breast cancer are relatively mature.However,the clinical management of breast cancer bone metastasis primarily relies on drugs,but this approach struggles to completely eliminate tumor cells and is often accompanied by drug resistance,leading to osteolytic destruction and aggressive tumor proliferation,severely compromising patients' quality of life and survival.Previous studies have focused primarily on breast cancer cells themselves,with less attention paid to how they exploit the protective mechanisms of the bone microenvironment to resist drug therapy.The study reviews the relevant literature to explore the role of the bone microenvironment in the development of drug resistance in breast cancer bone metastasis,hoping to provide new insights into the treatment of breast cancer bone metastasis.

In comparison with other malignancies,the diagnosis and treatment of primary breast cancer are relatively mature.However,the clinical management of breast cancer bone metastasis primarily relies on drugs,but this approach struggles to completely eliminate tumor cells and is often accompanied by drug resistance,leading to osteolytic destruction and aggressive tumor proliferation,severely compromising patients' quality of life and survival.Previous studies have focused primarily on breast cancer cells themselves,with less attention paid to how they exploit the protective mechanisms of the bone microenvironment to resist drug therapy.The study reviews the relevant literature to explore the role of the bone microenvironment in the development of drug resistance in breast cancer bone metastasis,hoping to provide new insights into the treatment of breast cancer bone metastasis.

Objective:To investigate genetic findings and pregnancy outcomes in fetuses with omphalocele.Methods:This retrospective study analyzed data from 502 fetuses with prenatally diagnosed omphalocele who underwent genetic testing at Guangzhou Women and Children's Medical Center and Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region between January 2014 and March 2024. Testing methods included karyotyping, chromosomal microarray analysis (CMA), methylation-specific multiplex ligation-dependent probe amplification, and whole-exome sequencing (WES). Cases were categorized as non-isolated ( n=340) or isolated ( n=162) based on ultrasound findings. Differences in genetic abnormality detection rates and pregnancy outcomes were analyzed using Mann-Whitney U test, independent samples t-test, and Chi-square test (or Fisher's exact test). Results:Among 502 fetuses, karyotyping plus CMA detected chromosomal abnormalities in 223 cases (44.4%, 223/502), including trisomy 18 (57.0%, 127/223) and trisomy 13 (23.3%, 52/223). CMA additionally identified nine pathogenic copy number variations (1.8%, 9/502) and five uniparental disomies (1.0%, 5/502), increasing the total diagnostic yield from 44.4% to 47.2%. The genetic abnormality rate was significantly lower in isolated (14.8%, 24/162) versus non-isolated omphalocele (64.7%, 220/340) ( χ2=109.34, P<0.001). WES detected variants in nine of 16 karyotype/CMA-negative cases, including five pathogenic variants involving PIK3CA and CDKN1C. Eight imprinting disorders (1.6%, 8/502) were identified, including five Beckwith-Wiedemann syndrome cases. Among 499 cases with follow-up, 401 (80.4%, 401/499) underwent pregnancy termination. Live birth rate was higher in isolated versus non-isolated groups [42.5% (69/162) vs. 8.5% (29/340), χ2=77.67, P<0.001]. Three cases were lost to follow-up. The one-year survival rate was 93.9% (92/98) in live-born infants. Conclusion:Aneuploidy (particularly trisomy 18) is the primary genetic etiology of omphalocele. CMA and WES significantly improve diagnostic yield. Isolated omphalocele has a more favorable prognosis, while non-isolated cases show significantly higher genetic abnormality rates. A stratified testing strategy is recommended: karyotyping plus CMA for isolated cases and prioritization of WES for multiple anomalies.

Objective To investigate the application efficiency and potential of CT radiomics in differentiating malignant and benign sub-centimeter solid pulmonary nodules. Methods A retrospective study was performed on the sub-centimeter ( ≤ 10 mm) solid pulmonary nodules detected by enhanced CT in our hospital from March 2020 to January 2023. Malignancy was confirmed by surgical pathology, and benignity was confirmed by surgical pathology or follow-up. Lesions were manually segmented and radiomic features were extracted. The feature dimension was reduced via feature correlation analysis and least absolute shrinkage and selection operator (LASSO). The 5-fold cross validation was used to validate the model. Support vector machine, logistic regression, linear classification support vector machine, gradient boosting, and random forest models were established for CT radiomics. Receiver operating characteristic curves were drawn. Delong test was used to compare the diagnostic performance of the five classifiers. The optimal model was selected and compared to radiologists with medium and high seniority. Results A total of 303 nodules, 136 of which were malignant, were examined. Radiomics models were established after feature extraction and selection. On test set, the areas under the receiver operating characteristic curves of support vector machine, logistic regression, linear classification support vector machine, random forest, and gradient boosting models were 0.922 (95%CI: 0.893, 0.950), 0.910 (95%CI: 0.878, 0.942), 0.905 (95%CI: 0.872, 0.938), 0.899 (95%CI: 0.865, 0.933), and 0.896 (95%CI: 0.862, 0.930), respectively. Delong test indicated no significant differences in the performance of the five radiomics models, and the support vector machine model showed the highest accuracy and F1 score. The support vector machine model showed significantly higher diagnostic accuracy as compared to radiologists (83.8% vs. 55.4%, P < 0.001). Conclusion The radiomics models achieved high diagnostic efficiency and may help to reduce the uncertainty in diagnosis of malignant and benign sub-centimeter solid nodules by radiologists.

Objective To investigate the mechanism by which Liraglutide improves the inflammatory response in metabolic associated fatty liver disease(MAFLD)by regulating the interferon gene stimulating factor(STING)signaling pathway.Methods 20 male C57BL/6J mice were randomly divided into normal diet group(NC),Liraglutide intervention group(NC+Lir group),high fat diet group(HFD group)and Liraglutide intervention high fat diet group(HFD+Lir group),with 5 in each group.Mouse primary hepato-cytes(MPHs)were divided into normal control(Con)group,Liraglutide intervention group(Con+Lir group),palmitic acid group(PA group)and Liraglutide intervention PA group(PA+Lir group).The levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST)in serum and triglyceride(TG)contents in liver were detected.HE and oil red O staining were used to observe the pathological changes in the liver and to calculate the MAFLD activity score(NAS).The mRNA expression levels of STING,IL-1β and TNF-α in tissues and cells were detected by qRT-PCR.The protein expression levels of STING,p-IRF3 and IFN-β were detected by Western blot.Results Body weight,liver tissue weight,serum ALT,AST,liver TG,steatosis,lobular inflammation and balloon-like NAS in HFD group were higher than those in NC group(P＜0.05 or P＜0.01).Body weight,liver tissue weight,serum ALT,AST,liver TG,steatosis,lobular inflammation and balloon-like NAS in HFD+Lir group were lower than those in HFD group(P＜0.05 or P＜0.01).The mRNA expressions of STING,IL-1β,TNF-α and the protein expressions of STING,p-IRF3 and IFN-β in liver of HFD group were higher than those of NC group(P＜0.05).The mRNA expressions of STING,IL-1β,TNF-α and the protein expressions of STING,p-IRF3 and IFN-β in HFD+ Lir group were lower than those in HFD+ Lir group(P＜0.05).The mRNA expressions of STING,IL-1β,TNF-α and the protein expressions of STING,p-IRF3 and IFN-β in PA group were higher than those in Con group(P＜0.01).The mRNA expressions of STING,IL-1β,TNF-α and the protein expressions of STING,p-IRF3 and IFN-β in PA+Lir group were lower than those in PA group(P＜0.05 or P＜0.01).Conclusion Liraglutide ameliorates the high-fat-induced inflammation responses in MAFLD by regulating the STING signaling pathways.

Objective To improve the determination of gross α and gross β radioactivity in soil, establish a fast and accurate method for soil radioactivity analysis, and provide a basis for establishing standard methods for analysis of gross α and gross β radioactivity in soil. Methods Using the method of soil nuclide extraction and the sample preparation method for low background α/β counter, an extraction-enrichment method was established to monitor the radioactivity of gross α and gross β in soil. Meanwhile, the radioactivity of gross α and gross β in the same soil samples was determined using the direct paving method. An optimal method of monitoring gross α and gross β radioactivity in soil was put forward by comparing the advantages and disadvantages of the two methods. Results With the direct paving method, the radioactivity of gross α and gross β in soil was 0.47 Bq/g and 0.85 Bq/g, respectively; and the minimum detection limit was 0.04 Bq/g and 0.02 Bq/g, respectively. With the extraction-enrichment method, the radioactivity of gross α and gross β in soil was 0.32 Bq/g and 0.29 Bq/g, and the minimum detection limit was 0.02 Bq/g and 0.01 Bq/g. Conclusion Comparison of the two detection methods showed that the direct paving method is more accurate and easier to operate, while the extraction-enrichment method is complex in operation and has relatively large system error but provides a lower minimum detection limit.